Signal Processing Experts in Munich
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Meet FRATCH Experts in Munich, who have recently used Signal Processing
Ljubomir Obrenovic
Last position:
Senior Software Test Engineer at Keil KTM GmbH
Temporary employment
- System black-box integration tests (BBIT, IVVQ): Execution of regression, release, acceptance, and compliance tests for safety-critical brake control units in the rail industry
- Software test application & integration: Runtime configuration of software components and libraries, validation of interfaces, configuration dependencies, and component interactions
- Test automation (FEAT framework): Co-development and further development of an automated test framework for test execution, reporting, and result analysis
- Functional safety (SiL4, FuSi): Ensuring compliance with safety requirements, traceability and coverage, as well as standards compliance according to EN50126/28/29
- Test automation for communication components: Configuration and validation of fieldbus (CAN) and Ethernet-based TCMS data communication interfaces (TRDP and CIP)
- Requirements analysis & shift-left (PTC Windchill ALM): Analysis of software and system artifacts to identify gaps, ambiguities, and redundancies early in the SDLC
- Test design & test case development: Derivation of test conditions, coverage strategies, and implementation of data-driven test cases (DDT), including reusable test data fixtures
- CI/CD & automation (Python, PowerShell, Jenkins, SVN): Automation of build, test, and HIL deployment processes as well as integration into CI/CD pipelines
- Test data & configuration management (XML): Maintenance and adaptation of XML test vectors and system configurations with automated integration into test environments
- Non-functional testing: Execution of performance and load tests to assess stability and system behavior
- Agile development & defect management (JIRA, Confluence): Participation in Scrum teams, test coordination, review of test artifacts, as well as defect tracking and root-cause analysis
- Error analysis & debugging (CANoe, CANalyzer): Analysis of errors and message flows across multiple system layers (application to bus)
- Model-based analysis (UML, Enterprise Architect): Specification of SUT/SOW and support for systematic test control
- Process & test documentation: Creation of integration and test documentation according to internal quality and certification requirements
Valery Khamenya
Last position:
Sr. Data Scientist & Engineer at Virtual Minds
- Development of high-performance ad distribution via auction
- Holistic (multi-campaign & multi-channel) advertisement placement optimization
- Algorithmic optimization for NP-Hard/NP-e
- Multiple Knapsack Problem with constraints
- Online estimation of parameters in stochastic environments
Tools: Python, R, Kotlin, MILP/SAT/CP Solvers, Pytorch, Pandas, Docker
Kyung Park
Last position:
Expert, Design-to-Mask Preparation at Robert Bosch Semiconductor Manufacturing Dresden
- Led end-to-end tape-out and photomask preparation for a 300mm automotive semiconductor program, ensuring manufacturability, data integrity, and compliance with automotive quality standards, frame generation, multi-die placement
- Identified and mitigated manufacturing-readiness risks during technology transfer (TI / TSMC 45nm) by implementing reticle, kerf, and alignment optimizations, reducing re-spin exposure, creating alignment, overlay markers, metrology targets, CD-control features, PDM cell
- Coordinated cross-functional stakeholders across design, lithography, manufacturing, and mask vendors to deliver a production-ready mask set under strict schedule constraints
- Performed and calibrated model-based OPC for the 110 nm node, leveraging RET strategies in collaboration with the photolithography modeling team
- Impact: Enabled on-time production release of a safety-critical automotive semiconductor by mitigating tape-out and manufacturability risks under strict quality and yield
Torsten Waldeck
Last position:
Product Owner at Beyonnex
Initial technical analysis of the requirements for the two applications
Creating a system concept for the interim solution and for the final solution
Creating the product vision, customer journey, and story map for the interim solution in close cooperation with subject matter experts
Building a development team
Managing dependencies and interfaces with the other applications according to Domain Driven Design principles
Creating EPICs and user stories, and maintaining the product backlog in coordination with subject matter experts and developers
Running sprint reviews with relevant stakeholders such as subject matter experts and management
Analyzing the requirements for the final solution
The interim solution was built within 8 months and was successfully used for the 2022 heating cost billing
The interim solution has since been further developed to increase automation
A technical concept for the final solution was created
Handover to two internal Product Owners is currently in progress
Emilio De Cesare
Last position:
Senior Commerce & Retail Media Manager at Publicis Media
- Amazon Ads strategy and activation (Sponsored Ads, DSP, AMC) across 12 markets (EMEA + North America), aligned to global frameworks and Amazon partnership guidelines
- Defined full-funnel audience strategies, aligning DSP and AMC segments with country-level objectives
- Built Q4 budget frameworks and pacing guardrails to reduce underspend and protect ROAS and reach targets
- Partnered with analytics teams on AMC analysis (path-to-conversion, overlap, new-to-brand) to drive optimisation actions
- Led Prime Day and BFCM planning and activation across markets, ensuring consistency and budget utilisation
- Acted as primary point of contact for Amazon, coordinating betas and strategic updates with internal stakeholders
- Developed Pacvue custom dashboards and improved workflows to standardise reporting and activation processes
Juan Solano Menacho
Last position:
Embedded Software Consultant at Embedded Software Consulting
- Development of a solar charge controller on an STM32 platform running FreeRTOS
- Development of embedded DSP software for automotive audio applications. Real-time signal processing software using C and Python/NumPy
- Development of serial drivers (SPI, I2C, UART) and real-time components in C for an electricity meter telemetry platform
- Unit testing with Unity and integration testing with Python
Hussein Kaheel
Last position:
QA and Test Automation Engineer at Intel
- Verified internal and external semiconductor technologies to support the release of design packages.
- Developed automated testing environments using Bash and Python to streamline verification workflows.
- Created and maintained TCL scripts to configure ivars and automate testbench execution.
- Performed comprehensive validation of technology libraries and Verilog files.
- Utilized a range of industry-standard EDA tools including Fusion Compiler, Innovus, ICV, Calibre (Mentor Graphics), Seascape (Ansys).
- Conducted root cause analysis to debug and resolve issues across various tool flows.
- Defined and tracked QoR (Quality of Results) metrics to provide a macro-level view of design package health.
- Optimized test runtime and resource usage to improve efficiency and turnaround time.
Maryam Sarebanzadeh
Last position:
Hardware and Control Engineer at Technical University of Munich
- Developed a 6 kW AC-DC power converter for automotive applications.
- Selected and tested SiC MOSFETs, gate drivers, diodes, and high-voltage capacitors.
- Created schematics and designed multilayer PCBs in Altium Designer.
- Collaborated with software and mechanical teams for system integration.
- Developed an advanced control strategy for traction inverters.
- Implemented and tested control algorithms in MATLAB/Simulink.
- Conducted detailed efficiency, power factor, and common-mode current measurements.
Oussama El Allam
Last position:
Head of R&D at eXagotec GmbH
- Spearheading multidisciplinary engineering teams in the development of next-generation medical devices
- Orchestrating research initiatives and technology roadmaps to deliver innovative medical solutions
- Overseeing R&D budget and managing project portfolios from concept through to commercialisation
- Establishing strategic collaborations with clinical partners for technology validation
András Bognár
Last position:
Test Equipment Developer at Minebea Access Solutions
- Tested passenger car opening handle at system level integrating hardware, software and mechanics
- Built and provided complete test equipment for system testers using Arduino boards, Saleae Logic analyser, oscilloscope, multimeter, RLC meter, programmable power supplies and function generators
- Developed system testing concepts and constructed manual system test bench
- Supported system testers with hardware and software tools
- Products: BMW XNF, Rolls Royce, Audi eRing, JLR (Jaguar-Land-Rover)
Slavina Vasileva
Last position:
Marketing Director at Permanent Entertainment GmbH
- Full P&L responsibility for pricing strategy, sales, and marketing with a focus on growth and efficiency
- Leading and scaling a high-performance team (5 FTE): establishing clear KPI structures, data-driven decision processes, and agile sprint setups to maximize team efficiency and output
- Developing and implementing a performance marketing architecture across all channels (SEA, paid social, programmatic, SEO, CRM, PR) to maximize revenue growth
- Increased ROAS by 32%, reduced CAC by 11%, and achieved 23% revenue growth YoY through data-driven budget allocation, cross-channel campaign optimization, and conversion rate testing
- Optimized the customer journey through conversion rate tests and audience segmentation
- Successfully integrated brand and performance marketing (SEO, organic, paid media, retention) to significantly boost brand awareness and sustainably improve ROAS
Christian Eigner
Last position:
Managing Director at Eigner Elektro
- Leading the company
- Strategic planning and business development
- Overseeing operational processes
Muhammad Hammad
Last position:
Working Student Electrical Engineer Automation at ANDRITZ Gmbh
- Worked on TexManager
- Cost management of PLCs
- Worked on control logics through PLC programming for different changes in automated systems
Lukas Fuchs
Last position:
Production & Sale of Digital Content, Side Business at Sole Proprietorship
Discover over 15,000 top freelancers
Statistics of experts using Signal Processing
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 17 years)
Position duration
2.4 years (Germany: 3 years)
Positions per freelancer
10
Top business areas
Product Development, Information Technology, Quality Assurance
Top industries
Manufacturing, Automotive, Information Technology
Certification focus areas
Business Intelligence, Information Technology, Marketing
Bachelor's degree or higher
92% (Germany: 94%)
Master's degree or higher
85% (Germany: 84%)
Doctorate
15% (Germany: 20%)
Certifications per freelancer
2
Most common languages
German, English, Spanish
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Munich are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Munich using Signal Processing
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Signal processing turns raw signals into useful information. It is used for audio, radio, radar, medical devices, imaging, and industrial sensor data. Strong experts know how to separate noise, preserve detail, and shape a signal for real-world use.
Common work
- Digital signal processing for audio, speech, and vibration
- Filter design, sampling, and spectral analysis
- Feature extraction for detection and classification
- Real-time processing on embedded or edge systems
- Model validation against measured data
Tools and methods
Work often combines MATLAB, Simulink, Python, and C/C++. Experts also use FFTs, FIR and IIR filters, wavelets, and statistical methods. The best professionals can move between theory, simulation, and implementation without losing signal quality.
When companies need help
Teams bring in freelance expertise when a product needs cleaner output, better accuracy, or lower latency. This is common in Munich for automotive, mobility, medical, and industrial projects where sensor data must be handled carefully. It also helps when internal teams need support for a specific DSP or analysis task.
What strong experts do
- Explain assumptions and trade-offs clearly
- Verify results with test signals and measured data
- Choose methods that fit the hardware and timing limits
- Document settings so others can reproduce the work
- Work well with firmware, hardware, and data teams
Hiring signals
Look for experts who can discuss sampling theory, filtering, and frequency-domain analysis in plain language. Good signal processing professionals can show clean implementations, stable results, and a clear path from prototype to production. For Munich teams, remote work is often fine, while on-site sessions can help with lab setup or hardware debugging.
Frequently asked questions
Quick answers to the questions that come up most around Signal Processing.
A strong Signal Processing expert cleans, analyzes, and transforms signals so they can be used in a product or system. That can mean audio, radio, sensor, image, or biomedical data. The work often includes filtering, feature extraction, and checking whether the result is stable in real conditions.
Digital Signal Processing is the most common form of signal processing in software and embedded systems. In practice, people often use DSP when they mean the digital side: discrete samples, filters, FFTs, and real-time processing. The broader term can also include analog and mixed-signal work.
Signal Processing is needed when raw data is noisy, time-sensitive, or hard to interpret. Typical projects include audio cleanup, speech analysis, radar and lidar pipelines, vibration monitoring, and sensor fusion. It also shows up in medical and industrial systems where signal quality affects the whole product.
A good Signal Processing specialist often brings Python, MATLAB, Simulink, and C or C++ skills. Knowledge of statistics, control systems, embedded software, and hardware constraints is also useful. For some projects, domain knowledge in acoustics, communications, imaging, or automotive sensing matters as much as the math.
Signal Processing focuses on understanding and shaping the signal itself, while machine learning learns patterns from data. In many projects they work together: signal processing prepares the data, and ML uses the cleaned input for detection or classification. If the problem needs explainable behavior or strict timing, signal processing is often the better base.
Signal Processing projects can benefit from freelance help very early, especially if the team is unsure about sampling, filtering, or latency limits. Small proof-of-concept work may need only a focused specialist, while production systems need someone who can bridge theory and implementation. The harder the noise, timing, or hardware constraints, the more valuable deep expertise becomes.
Yes, much of Signal Processing can be done remotely with shared data, simulations, and review sessions. On-site time can help when the work depends on lab equipment, prototype boards, or live measurements. Many Munich teams use a mix of remote analysis and short on-site visits for testing.
A good Signal Processing freelancer explains why a method fits the signal, the sampling rate, and the hardware limits. Look for clear test cases, reproducible results, and careful handling of noise, delay, and edge cases. Strong experts also document parameters so another specialist can maintain the work later.
The average hourly rate of freelancers in Munich, Germany who have used Signal Processing in their recent projects is 85 €, which corresponds to a daily rate of about 676 € based on an 8-hour working day.
Of the freelancers in Munich, Germany who have used Signal Processing in their recent projects, 92% hold at least a Bachelor's degree, 85% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Munich, Germany who have used Signal Processing in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Munich, Germany who have used Signal Processing in their recent projects are German (100%), English (100%), and Spanish (21%).
The most common industries among freelancers in Munich, Germany who have used Signal Processing in their recent projects are Manufacturing (71%), Automotive (57%), and Information Technology (57%).
The most common business areas among freelancers in Munich, Germany who have used Signal Processing in their recent projects are Product Development (86%), Information Technology (64%), and Quality Assurance (57%).
Main locations of FRATCH Experts, who have recently used Signal Processing
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Berlin 
Hamburg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
